Pushshift Reddit — 2011-09

A Reddit (Pushshift archive, 2011-09) dataset of 9,808,117 comments and 4,569,421 reply edges, collected by Jason Baumgartner via Pushshift.io Reddit API archive. Each record contains comment tree graph (nodes=comments, edges=reply relationships), 9,784 subreddits, node attributes: author, subreddit, score. Monthly slice of the Pushshift Reddit corpus for 2011-09 — comment tree graph showing reply structure, full comment text, and per-comment engagement metrics across 9,784 subreddits.. Suitable for Reddit comment tree analysis, reply network structure, community detection, sentiment analysis, engagement research, longitudinal Reddit growth studies.

#Comment tree#Monthly snapshot#Pushshift#Subreddit

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Analytics

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· graph.json

The full graph has 9,808,117 nodes; this view shows the 1,000-node sample the pipeline drew for display. Node size is centrality, colour is community.

9.8M
Nodes
4.6M
Edges
5.00e-08
Density
5.2M
Components
0.02446
Assortativity
0.0%
Reciprocity
4.6M
Bridges
Most central nodes
c2mqvzb3e-05
c2nlc8e3e-05
c2jwkom2e-05
c2kb4vh2e-05
c2h0mjw2e-05
c2hu8dn2e-05
c2h0itb2e-05
c2l583a2e-05
c2hu81f2e-05
c2mxowe1e-05
Content metrics

9,808,117 records scored · min–maxmean ± 0.675 σ (the interquartile range if the values are roughly normal)mean

scoreμ 4.514 ± 26.55
min -811max 3.4K
gilded0.0% true
true 0.0%false 100.0%
6.3
Flesch–Kincaid grade
US school grade level
6.7
Automated readability index
Frequent terms
likedonpeoplethinkknowtimegoodwaywantrightgoinggotworkthingusesureneedactuallyprettythingsdidnlotdoesnbettergamedaylookfindsaidloveyearsnewgreatprobablybesttryshitbadlittlepointyeahguymanlifethanksreadyearfuckisnfeel
Topic clusters

Topic 0

eat
smoke
like
food
weed
drink
good
beer

Topic 1

movie
watch
video
song
episode
music
album
film

Topic 2

upvote
reddit
downvote
post
karma
link
facebook
comment

Topic 3

school
class
teacher
student
work
job
college
math

Topic 4

mouse
file
keyboard
laptop
use
computer
run
windows

Topic 5

fuck
fucking
troll
shit
bitch
internet
asshole
fuckin

Topic 6

feel
friend
relationship
girl
woman
know
think
like

Topic 7

team
player
season
play
fan
year
game
football

Topic 8

tax
pay
money
taxis
price
buy
income
government

Topic 9

game
play
xbox
player
buy
new
like
gaming

Topic 10

think
happen
talk
idea
imagine
mind
wonder
work

Topic 11

hair
boob
eyebrow
bra
yes
look
amazing
cute
Show all 24 topics

Topic 12

thank
advice
appreciate
share
awesome
great
sir
help

Topic 13

god
atheist
religion
christian
universe
believe
belief
bible

Topic 14

car
bike
city
park
drive
place
area
ride

Topic 15

read
sorry
book
write
mistake
spell
spanish
language

Topic 16

laugh
funny
joke
hilarious
humor
loud
thank
think

Topic 17

paul
ron
conspiracy
vote
president
obama
republican
politic

Topic 18

kid
feel
mom
girl
old
mother
guy
boy

Topic 19

picture
camera
pic
photo
draw
image
shot
photographer

Topic 20

look
wear
shoe
shirt
pony
like
pant
sock

Topic 21

game
play
guild
damage
build
tank
player
time

Topic 22

luck
try
hope
tomorrow
good
nice
idea
day

Topic 23

gun
carry
knife
weapon
rifle
barrel
tool
bullet
Top hashtags
#3232212
#3949
#t43
#134
#218
#310
#410
#auto7
#104
#54
#p4
#v4
#143
#413c383
#73
#i3
#sclient3
#um3
#112
#1282

Sampled: text metrics from 50K of 9.5M records; topic model from 20K. Degree assortativity: exact — Pearson correlation of total degree over every edge (DuckDB) Bridge bottleneck count: exact — biconnected components of the undirected graph (NetworKit) Connected components: exact — weakly connected components (NetworKit) Density: exact Reciprocity rate: exact (DuckDB) Top 10 centrality hubs: exact — full degree count (DuckDB)

Record

Catalog key
pushshift-reddit-2011-09
Authors
Baumgartner, Jason; Zannettou, Savvas; Keegan, Brian; Squire, Megan; Blackburn, Jeremy
Year
2020
Source paper
The Pushshift Reddit Dataset
DOI / arXiv
10.1609/icwsm.v14i1.7347
License
Unknown
Records
9,808,117
Nodes
9,808,117
Edges
4,569,421
Nodes are
user
Edges are
reply
Attributes
nodes have no attributes; edges have no attributes
Text corpus
comment text
Languages
en
Collected
2011-09 (2010s)
Tasks
From the graph: link prediction, community detection
Region
Global (inferred: the platform is used worldwide)

Provenance

Originally published at
https://files.pushshift.io/reddit/comments/ unverified
Hosted copy
Mirrored on echo.directory on 2026-10-02, 1.0 GB across 1 files. Checksums in MANIFEST.json.

How to cite

BibTeX

@misc{echo2026,
  title  = {ECHO: Exploratory Compendium of Humanity Online},
  author = {Switzer, Braden and Zafarani, Reza},
  year   = {2026},
  url    = {https://echo.directory},
  note   = {Syracuse University}
}

@misc{baumgartner2020pushshift,
  title         = {The Pushshift Reddit Dataset},
  author        = {Baumgartner, Jason and Zannettou, Savvas and Keegan, Brian and Squire, Megan and Blackburn, Jeremy},
  year          = {2020},
  eprint        = {2001.08435},
  archiveprefix = {arXiv}
}

APA

Switzer, B., & Zafarani, R. (2026). ECHO: Exploratory Compendium of Humanity Online [Data repository]. Syracuse University. https://echo.directory

Baumgartner, J., Zannettou, S., Keegan, B., Squire, M., & Blackburn, J. (2020). Pushshift Reddit — 2011-09 [Data set]. https://doi.org/10.1609/icwsm.v14i1.7347

MLA

Switzer, Braden, and Reza Zafarani. ECHO: Exploratory Compendium of Humanity Online. Syracuse University, 2026, echo.directory.

Baumgartner, Jason, et al. Pushshift Reddit — 2011-09. 2020, doi.org/10.1609/icwsm.v14i1.7347.

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